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cuml - v21.10.00

Published by GPUtester about 3 years ago

🚨 Breaking Changes

RF: python api behaviour refactor (#4207) @venkywonka
Implement vector leaf for random forest (#4191) @RAMitchell
Random forest refactoring (#4166) @RAMitchell
RF: Add Poisson deviance impurity criterion (#4156) @venkywonka
avoid paramsSolver::{n_rows,n_cols} shadowing their base class counterparts (#4130) @yitao-li
Apply modifications to account for RAFT changes (#4077) @viclafargue

🐛 Bug Fixes

Update scikit-learn version in conda dev envs to 0.24 (#4241) @dantegd
Using pinned host memory for Random Forest and DBSCAN (#4215) @divyegala
Make sure we keep the rapids-cmake and cuml cal version in sync (#4213) @robertmaynard
Add thrust_create_target to install export in CMakeLists (#4209) @dantegd
Change the error type to match sklearn. (#4198) @achirkin
Fixing remaining hdbscan bug (#4179) @cjnolet
Fix for cuDF changes to cudf.core (#4168) @dantegd
Fixing UMAP reproducibility pytest failures in 11.4 by using random init for now (#4152) @cjnolet
avoid paramsSolver::{n_rows,n_cols} shadowing their base class counterparts (#4130) @yitao-li
Use the new RAPIDS.cmake to fetch rapids-cmake (#4102) @robertmaynard

📖 Documentation

Expose train_test_split in API doc (#4234) @hcho3
Adding docs for .get_feature_names() inside TfidfVectorizer (#4226) @mayankanand007
Removing experimental flag from hdbscan description in docs (#4211) @cjnolet
updated build instructions (#4200) @shaneding
Forward-merge branch-21.08 to branch-21.10 (#4171) @jakirkham

🚀 New Features

Experimental option to build libcuml++ only with FIL (#4225) @dantegd
FIL to import categorical models from treelite (#4173) @levsnv
Add hamming, jensen-shannon, kl-divergence, correlation and russellrao distance metrics (#4155) @mdoijade
Add Categorical Naive Bayes (#4150) @lowener
FIL to infer categorical forests and generate them in C++ tests (#4092) @levsnv
Add Gaussian Naive Bayes (#4079) @lowener
ARIMA - Add support for missing observations and padding (#4058) @Nyrio

🛠️ Improvements

Pin max dask and distributed versions to 2021.09.1 (#4229) @galipremsagar
Fea/umap refine (#4228) @AjayThorve
Upgrade Treelite to 2.1.0 (#4220) @hcho3
Add option to clone RAFT even if it is in the environment (#4217) @dantegd
RF: python api behaviour refactor (#4207) @venkywonka
Pytest updates for Scikit-learn 0.24 (#4205) @dantegd
Faster glm ols-via-eigendecomposition algorithm (#4201) @achirkin
Implement vector leaf for random forest (#4191) @RAMitchell
Refactor kmeans sampling code (#4190) @Nanthini10
Gracefully accept 'n_jobs', a common sklearn parameter, in NearestNeighbors Estimator (#4178) @NV-jpt
Update with rapids cmake new features (#4175) @robertmaynard
Update to UCX-Py 0.22 (#4174) @pentschev
Random forest refactoring (#4166) @RAMitchell
Fix log level for dask tree_reduce (#4163) @lowener
Add CUDA 11.4 development environment (#4160) @dantegd
RF: Add Poisson deviance impurity criterion (#4156) @venkywonka
Split FIL infer_k into phases to speed up compilation (when a patch is applied) (#4148) @levsnv
RF node queue rewrite (#4125) @RAMitchell
Remove max version pin for dask & distributed on development branch (#4118) @galipremsagar
Correct name of a cmake function in get_spdlog.cmake (#4106) @robertmaynard
Apply modifications to account for RAFT changes (#4077) @viclafargue
Warnings are errors (#4075) @harrism
ENH Replace gpuci_conda_retry with gpuci_mamba_retry (#4065) @dillon-cullinan
Changes to NearestNeighbors to call 2d random ball cover (#4003) @cjnolet
support space in workspace (#3752) @jolorunyomi

cuml - v21.08.02

Published by GPUtester about 3 years ago

v21.08.02

cuml - v21.08.01

Published by GPUtester about 3 years ago

v21.08.01

cuml - v21.08.00

Published by GPUtester about 3 years ago

🚨 Breaking Changes

Remove deprecated target_weights in UMAP (#4081) @lowener
Upgrade Treelite to 2.0.0 (#4072) @hcho3
RF/DT cleanup (#4005) @venkywonka
RF: memset and batch size optimization for computing splits (#4001) @venkywonka
Remove old RF backend (#3868) @RAMitchell
Enable warp-per-tree inference in FIL for regression and binary classification (#3760) @levsnv

🐛 Bug Fixes

Disabling umap reproducibility tests for cuda 11.4 (#4128) @cjnolet
Fix for crash in RF when max_leaves parameter is specified (#4126) @vinaydes
Running umap mnmg test twice (#4112) @cjnolet
Minimal fix for SparseRandomProjection (#4100) @viclafargue
Creating copy of components in PCA transform and inverse transform (#4099) @divyegala
Fix SVM model parameter handling in case n_support=0 (#4097) @tfeher
Fix set_params for linear models (#4096) @lowener
Fix train test split pytest comparison (#4062) @dantegd
Fix fit_transform on KMeans (#4055) @lowener
Fixing -1 key access in 1nn reduce op in HDBSCAN (#4052) @divyegala
Disable installing gbench to avoid container permission issues (#4049) @dantegd
Fix double fit crash in preprocessing models (#4040) @viclafargue
Always add faiss library alias if it's missing (#4028) @trxcllnt
Fixing intermittent HBDSCAN pytest failure in CI (#4025) @divyegala
HDBSCAN bug on A100 (#4024) @divyegala
Add treelite include paths to treelite targets (#4023) @trxcllnt
Add Treelite_BINARY_DIR include to cuml++ build interface include paths (#4018) @trxcllnt
Small ARIMA-related bug fixes in Hessenberg reduction and make_arima (#4017) @Nyrio
Update setup.py (#4015) @ajschmidt8
Update treelite version in get_treelite.cmake (#4014) @ajschmidt8
Fix build with latest RAFT branch-21.08 (#4012) @trxcllnt
Skipping hdbscan pytests when gpu is a100 (#4007) @cjnolet
Using 64-bit array lengths to increase scale of pca & tsvd (#3983) @cjnolet
Fix MNMG test in Dask RF (#3964) @hcho3
Use nested include in destination of install headers to avoid docker permission issues (#3962) @dantegd
Fix automerge #3939 (#3952) @dantegd
Update UCX-Py version to 0.21 (#3950) @pentschev
Fix kernel and line info in cmake (#3941) @dantegd
Fix for multi GPU PCA compute failing bug after transform and added error handling when n_components is not passed (#3912) @akaanirban
Tolerate QN linesearch failures when it's harmless (#3791) @achirkin

📖 Documentation

Improve docstrings for silhouette score metrics. (#4026) @bdice
Update CHANGELOG.md link (#3956) @Salonijain27
Update documentation build examples to be generator agnostic (#3909) @robertmaynard
Improve FIL code readability and documentation (#3056) @levsnv

🚀 New Features

Add Multinomial and Bernoulli Naive Bayes variants (#4053) @lowener
Add weighted K-Means sampling for SHAP (#4051) @Nanthini10
Use chebyshev, canberra, hellinger and minkowski distance metrics (#3990) @mdoijade
Implement vector leaf prediction for fil. (#3917) @RAMitchell
change TargetEncoder's smooth argument from ratio to count (#3876) @daxiongshu
Enable warp-per-tree inference in FIL for regression and binary classification (#3760) @levsnv

🛠️ Improvements

Remove clang/clang-tools from conda recipe (#4109) @dantegd
Pin dask version (#4108) @galipremsagar
ANN warnings/tests updates (#4101) @viclafargue
Removing local memory operations from computeSplitKernel and other optimizations (#4083) @vinaydes
Fix libfaiss dependency to not expressly depend on conda-forge (#4082) @Ethyling
Remove deprecated target_weights in UMAP (#4081) @lowener
Upgrade Treelite to 2.0.0 (#4072) @hcho3
Optimize dtype conversion for FIL (#4070) @dantegd
Adding quick notes to HDBSCAN public API docs as to why discrepancies may occur between cpu and gpu impls. (#4061) @cjnolet
Update conda environment name for CI (#4039) @ajschmidt8
Rewrite random forest gtests (#4038) @RAMitchell
Updating Clang Version to 11.0.0 (#4029) @codereport
Raise ARIMA parameter limits from 4 to 8 (#4022) @Nyrio
Testing extract clusters in HDBSCAN (#4009) @divyegala
ARIMA - Kalman loop rewrite: single megakernel instead of host loop (#4006) @Nyrio
RF/DT cleanup (#4005) @venkywonka
Exposing condensed hierarchy through cython for easier unit-level testing (#4004) @cjnolet
Use the 21.08 branch of rapids-cmake as rmm requires it (#4002) @robertmaynard
RF: memset and batch size optimization for computing splits (#4001) @venkywonka
Reducing cluster size to number of selected clusters. Returning stability scores (#3987) @cjnolet
HDBSCAN: Lazy-loading (and caching) condensed & single-linkage tree objects (#3986) @cjnolet
Fix 21.08 forward-merge conflicts (#3982) @ajschmidt8
Update Dask/Distributed version (#3978) @pentschev
Use clang-tools on x86 only (#3969) @jakirkham
Promote trustworthiness_score to public header, add missing includes, update dependencies (#3968) @trxcllnt
Moving FAISS ANN wrapper to raft (#3963) @cjnolet
Add MG weighted k-means (#3959) @lowener
Remove unused code in UMAP. (#3931) @trivialfis
Fix automerge #3900 and correct package versions in meta packages (#3918) @dantegd
Adaptive stress tests when GPU memory capacity is insufficient (#3916) @lowener
Fix merge conflicts (#3892) @ajschmidt8
Remove old RF backend (#3868) @RAMitchell
Refactor to extract random forest objectives (#3854) @RAMitchell

cuml - v21.06.02

Published by GPUtester over 3 years ago

cuml - v21.06.01

Published by GPUtester over 3 years ago

cuml - v21.06.00

Published by GPUtester over 3 years ago

🚨 Breaking Changes

Remove Base.enable_rmm_pool method as it is no longer needed (#3875) @teju85
RF: Make experimental-backend default for regression tasks and deprecate old-backend. (#3872) @venkywonka
Deterministic UMAP with floating point rounding. (#3848) @trivialfis
Fix RF regression performance (#3845) @RAMitchell
Add feature to print forest shape in FIL upon importing (#3763) @levsnv
Remove 'seed' and 'output_type' deprecated features (#3739) @lowener

🐛 Bug Fixes

Disable UMAP deterministic test on CTK11.2 (#3942) @trivialfis
Revert #3869 (#3933) @hcho3
RF: fix the bug in pdf_to_cdf device function that causes hang when n_bins > TPB && n_bins % TPB != 0 (#3921) @venkywonka
Fix number of permutations in pytest and getting handle for cuml models (#3920) @dantegd
Fix typo in umap target_weight parameter (#3914) @lowener
correct compliation of cuml c library (#3908) @robertmaynard
Correct install path for include folder to avoid double nesting (#3901) @dantegd
Add type check for y in train_test_split (#3886) @Nanthini10
Fix for MNMG test_rf_classification_dask_fil_predict_proba (#3831) @lowener
Fix MNMG test test_rf_regression_dask_fil (#3830) @hcho3
AgglomerativeClustering support single cluster and ignore only zero distances from self-loops (#3824) @cjnolet

📖 Documentation

Small doc fixes for 21.06 release (#3936) @dantegd
Document ability to export cuML RF to predict on other machines (#3890) @hcho3

🚀 New Features

Deterministic UMAP with floating point rounding. (#3848) @trivialfis
HDBSCAN (#3821) @cjnolet
Add feature to print forest shape in FIL upon importing (#3763) @levsnv

🛠️ Improvements

Pin dask ot 2021.5.1 for 21.06 release (#3937) @dantegd
Upgrade xgboost to 1.4.2 (#3925) @dantegd
Use UCX-Py 0.20 (#3911) @jakirkham
Upgrade NCCL to 2.9.9 (#3902) @dantegd
Update conda developer environments (#3898) @viclafargue
ARIMA: pre-allocation of temporary memory to reduce latencies (#3895) @Nyrio
Condense TSNE parameters into a struct (#3884) @lowener
Update CHANGELOG.md links for calver (#3883) @ajschmidt8
Make sure __init__ is called in graph callback. (#3881) @trivialfis
Update docs build script (#3877) @ajschmidt8
Remove Base.enable_rmm_pool method as it is no longer needed (#3875) @teju85
RF: Make experimental-backend default for regression tasks and deprecate old-backend. (#3872) @venkywonka
Enable probability output from RF binary classifier (alternative implementaton) (#3869) @hcho3
CI test speed improvement (#3851) @lowener
Fix RF regression performance (#3845) @RAMitchell
Update to CMake 3.20 features, rapids-cmake and CPM (#3844) @dantegd
Support sparse input features in QN solvers and Logistic Regression (#3827) @achirkin
Trustworthiness score improvements (#3826) @viclafargue
Performance optimization of RF split kernels by removing empty cycles (#3818) @vinaydes
Correct deprecate positional args decorator for CalVer (#3784) @lowener
ColumnTransformer & FunctionTransformer (#3745) @viclafargue
Remove 'seed' and 'output_type' deprecated features (#3739) @lowener

cuml - v0.19.0

Published by GPUtester over 3 years ago

🚨 Breaking Changes

Use the new RF backend by default for classification (#3686) @hcho3
Deprecating quantile-per-tree and removing three previously deprecated Random Forest parameters (#3667) @vinaydes
Update predict() / predict_proba() of RF to match sklearn (#3609) @hcho3
Upgrade FAISS to 1.7.x (#3509) @viclafargue
cuML's estimator Base class for preprocessing models (#3270) @viclafargue

🐛 Bug Fixes

Fix brute force KNN distance metric issue (#3755) @viclafargue
Fix min_max_axis (#3735) @viclafargue
Fix NaN errors observed with ARIMA in CUDA 11.2 builds (#3730) @Nyrio
Fix random state generator (#3716) @viclafargue
Fixes the out of memory access issue for computeSplit kernels (#3715) @vinaydes
Fixing umap gtest failure under cuda 11.2. (#3696) @cjnolet
Fix irreproducibility issue in RF classification (#3693) @vinaydes
BUG fix BatchedLevelAlgo DtClsTest & DtRegTest failing tests (#3690) @venkywonka
Restore the functionality of RF score() (#3685) @hcho3
Use main build.sh to build docs in docs CI (#3681) @dantegd
Revert "Update conda recipes pinning of repo dependencies" (#3680) @raydouglass
Skip tests that fail on CUDA 11.2 (#3679) @dantegd
Dask KNN Cl&Re 1D labels (#3668) @viclafargue
Update conda recipes pinning of repo dependencies (#3666) @mike-wendt
OOB access in GLM SoftMax (#3642) @divyegala
SilhouetteScore C++ tests seed (#3640) @divyegala
SimpleImputer fix (#3624) @viclafargue
Silhouette Score make_monotonic for non-monotonic label set (#3619) @divyegala
Fixing support for empty rows in sparse Jaccard / Cosine (#3612) @cjnolet
Fix train_test_split with stratify option (#3611) @Nanthini10
Update predict() / predict_proba() of RF to match sklearn (#3609) @hcho3
Change dask and distributed branch to main (#3593) @dantegd
Fixes memory allocation for experimental backend and improves quantile computations (#3586) @vinaydes
Add ucx-proc package back that got lost during an auto merge conflict (#3550) @dantegd
Fix failing Hellinger gtest (#3549) @cjnolet
Directly invoke make for non-CMake docs target (#3534) @wphicks
Fix Codecov.io Coverage Upload for Branch Builds (#3524) @mdemoret-nv
Ensure global_output_type is thread-safe (#3497) @wphicks
List as input for SimpleImputer (#3489) @viclafargue

📖 Documentation

Add sparse docstring comments (#3712) @JohnZed
FIL and Dask demo (#3698) @miroenev
Deprecating quantile-per-tree and removing three previously deprecated Random Forest parameters (#3667) @vinaydes
Fixing Indentation for Docstring Generators (#3650) @mdemoret-nv
Update doc to indicate ExtraTree support (#3635) @hcho3
Update doc, now that FIL supports multi-class classification (#3634) @hcho3
Document model_type='xgboost_json' in FIL (#3633) @hcho3
Including log loss metric to the documentation website (#3617) @lowener
Update the build doc regarding the use of GCC 7.5 (#3605) @hcho3
Update One-Hot Encoder doc (#3600) @lowener
Fix documentation of KMeans (#3595) @lowener

🚀 New Features

Reduce the size of the cuml libraries (#3702) @robertmaynard
Use ninja as default CMake generator (#3664) @wphicks
Single-Linkage Hierarchical Clustering Python Wrapper (#3631) @cjnolet
Support for precomputed distance matrix in DBSCAN (#3585) @Nyrio
Adding haversine to brute force knn (#3579) @cjnolet
Support for sample_weight parameter in LogisticRegression (#3572) @viclafargue
Provide "--ccache" flag for build.sh (#3566) @wphicks
Eliminate unnecessary includes discovered by cppclean (#3564) @wphicks
Single-linkage Hierarchical Clustering C++ (#3545) @cjnolet
Expose sparse distances via semiring to Python API (#3516) @lowener
Use cmake --build in build.sh to facilitate switching build tools (#3487) @wphicks
Add cython hinge_loss (#3409) @Nanthini10
Adding CodeCov Info for Dask Tests (#3338) @mdemoret-nv
Add predict_proba() to XGBoost-style models in FIL C++ (#2894) @levsnv

🛠️ Improvements

Updating docs, readme, and umap param tests for 0.19 (#3731) @cjnolet
Locking RAFT hash for 0.19 (#3721) @cjnolet
Upgrade to Treelite 1.1.0 (#3708) @hcho3
Update to XGBoost 1.4.0rc1 (#3699) @hcho3
Use the new RF backend by default for classification (#3686) @hcho3
Update LogisticRegression documentation (#3677) @viclafargue
Preprocessing out of experimental (#3676) @viclafargue
ENH Decision Tree new backend computeSplit*Kernel histogram calculation optimization (#3674) @venkywonka
Remove check_cupy8 (#3669) @viclafargue
Use custom conda build directory for ccache integration (#3658) @dillon-cullinan
Disable three flaky tests (#3657) @hcho3
CUDA 11.2 developer environment (#3648) @dantegd
Store data frequencies in tree nodes of RF (#3647) @hcho3
Row major Gram matrices (#3639) @tfeher
Converting all Estimator Constructors to Keyword Arguments (#3636) @mdemoret-nv
Adding make_pipeline + test score with pipeline (#3632) @viclafargue
ENH Decision Tree new backend computeSplitClassificationKernel histogram calculation and occupancy optimization (#3616) @venkywonka
Revert "ENH Fix stale GHA and prevent duplicates " (#3614) @mike-wendt
ENH Fix stale GHA and prevent duplicates (#3613) @mike-wendt
KNN from RAFT (#3603) @viclafargue
Update Changelog Link (#3601) @ajschmidt8
Move SHAP explainers out of experimental (#3596) @dantegd
Fixing compatibility issue with CUDA array interface (#3594) @lowener
Remove cutlass usage in row major input for euclidean exp/unexp, cosine and L1 distance matrix (#3589) @mdoijade
Test FIL probabilities with absolute error thresholds in python (#3582) @levsnv
Removing sparse prims and fused l2 nn prim from cuml (#3578) @cjnolet
Prepare Changelog for Automation (#3570) @ajschmidt8
Print debug message if SVM convergence is poor (#3562) @tfeher
Fix merge conflicts in 3552 (#3557) @ajschmidt8
Additional distance metrics for ANN (#3533) @viclafargue
Improve warning message when QN solver reaches max_iter (#3515) @tfeher
Fix merge conflicts in 3502 (#3513) @ajschmidt8
Upgrade FAISS to 1.7.x (#3509) @viclafargue
ENH Pass ccache variables to conda recipe & use Ninja in CI (#3508) @Ethyling
Fix forward-merger conflicts in #3502 (#3506) @dantegd
Sklearn meta-estimators into namespace (#3493) @viclafargue
Add flexibility to copyright checker (#3466) @lowener
Update sparse KNN to use rmm device buffer (#3460) @lowener
Fix forward-merger conflicts in #3444 (#3455) @ajschmidt8
Replace ML::MetricType with raft::distance::DistanceType (#3389) @lowener
RF param initialization cython and C++ layer cleanup (#3358) @venkywonka
MNMG RF broadcast feature (#3349) @viclafargue
cuML's estimator Base class for preprocessing models (#3270) @viclafargue
Make _get_tags a class/static method (#3257) @dantegd
NVTX Markers for RF and RF-backend (#3014) @venkywonka

cuml - v0.18.0

Published by GPUtester over 3 years ago

Breaking Changes 🚨

cuml.experimental SHAP improvements (#3433) @dantegd
Enable feature sampling for the experimental backend of Random Forest (#3364) @vinaydes
re-enable cuML's copyright checker script (#3363) @teju85
Batched Silhouette Score (#3362) @divyegala
Update failing MNMG tests (#3348) @viclafargue
Rename print_summary() of Dask RF to get_summary_text(); it now returns string to the client (#3341) @hcho3
Rename dump_as_json() -> get_json(); expose it from Dask RF (#3340) @hcho3
MNMG KNN consolidation (#3307) @viclafargue
Return confusion matrix as int unless float weights are used (#3275) @lowener
Approximate Nearest Neighbors (#2780) @viclafargue

Bug Fixes 🐛

HOTFIX Add ucx-proc package back that got lost during an auto merge conflict (#3551) @dantegd
Non project-flash CI ml test 18.04 issue debugging and bugfixing (#3495) @dantegd
Temporarily xfail KBinsDiscretizer uniform tests (#3494) @wphicks
Fix illegal memory accesses when NITEMS > 1, and nrows % NITEMS != 0. (#3480) @canonizer
Update call to dask client persist (#3474) @dantegd
Adding warning for IVFPQ (#3472) @viclafargue
Fix failing sparse NN test in CI by allowing small number of index discrepancies (#3454) @cjnolet
Exempting thirdparty code from copyright checks (#3453) @lowener
Relaxing Batched SilhouetteScore Test Constraint (#3452) @divyegala
Mark kbinsdiscretizer quantile tests as xfail (#3450) @wphicks
Fixing documentation on SimpleImputer (#3447) @lowener
Skipping IVFPQ (#3429) @viclafargue
Adding tol to dask test_kmeans (#3426) @lowener
Fix memory bug for SVM with large n_rows (#3420) @tfeher
Allow linear regression for with CUDA >=11.0 (#3417) @wphicks
Fix vectorizer tests by restoring sort behavior in groupby (#3416) @JohnZed
Ensure make_classification respects output type (#3415) @wphicks
Clean Up #include Dependencies (#3402) @mdemoret-nv
Fix Nearest Neighbor Stress Test (#3401) @lowener
Fix array_equal in tests (#3400) @viclafargue
Improving Copyright Check When Not Running in CI (#3398) @mdemoret-nv
Also xfail zlib errors when downloading newsgroups data (#3393) @JohnZed
Fix for ANN memory release bug (#3391) @viclafargue
XFail Holt Winters test where statsmodels has known issues with gcc 9.3.0 (#3385) @JohnZed
FIX Update cupy to >= 7.8 and remove unused build.sh script (#3378) @dantegd
re-enable cuML's copyright checker script (#3363) @teju85
Update failing MNMG tests (#3348) @viclafargue
Rename print_summary() of Dask RF to get_summary_text(); it now returns string to the client (#3341) @hcho3
Fixing make_blobs to Respect the Global Output Type (#3339) @mdemoret-nv
Fix permutation explainer (#3332) @RAMitchell
k-means bug fix in debug build (#3321) @akkamesh
Fix for default arguments of PCA (#3320) @lowener
Provide workaround for cupy.percentile bug (#3315) @wphicks
Fix SVR unit test parameter (#3294) @tfeher
Add xfail on fetching 20newsgroup dataset (test_naive_bayes) (#3291) @lowener
Remove unused keyword in PorterStemmer code (#3289) @wphicks
Remove static specifier in DecisionTree unit test for C++14 compliance (#3281) @wphicks
Correct pure virtual declaration in manifold_inputs_t (#3279) @wphicks

Documentation 📖

Correct import path in docs for experimental preprocessing features (#3488) @wphicks
Minor doc updates for 0.18 (#3475) @JohnZed
Improve Python Docs with Default Role (#3445) @mdemoret-nv
Fixing Python Documentation Errors and Warnings (#3428) @mdemoret-nv
Remove outdated references to changelog in CONTRIBUTING.md (#3328) @wphicks
Adding highlighting to bibtex in readme (#3296) @cjnolet

New Features 🚀

Improve runtime performance of RF to Treelite conversion (#3410) @wphicks
Parallelize Treelite to FIL conversion over trees (#3396) @wphicks
Parallelize RF to Treelite conversion over trees (#3395) @wphicks
Allow saving Dask RandomForest models immediately after training (fixes #3331) (#3388) @jameslamb
genetic programming initial structures (#3387) @teju85
MNMG DBSCAN (#3382) @Nyrio
FIL to use L1 cache when input columns don't fit into shared memory (#3370) @levsnv
Enable feature sampling for the experimental backend of Random Forest (#3364) @vinaydes
Batched Silhouette Score (#3362) @divyegala
Rename dump_as_json() -> get_json(); expose it from Dask RF (#3340) @hcho3
Exposing model_selection in a similar way to scikit-learn (#3329) @ptartan21
Promote IncrementalPCA from experimental in 0.18 release (#3327) @lowener
Create labeler.yml (#3324) @jolorunyomi
Add slow high-precision mode to KNN (#3304) @wphicks
Sparse TSNE (#3293) @divyegala
Sparse Generalized SPMV (semiring) Primitive (#3146) @cjnolet
Multiclass meta estimator wrappers and multiclass SVC (#3092) @tfeher
Approximate Nearest Neighbors (#2780) @viclafargue
Add KNN parameter to t-SNE (#2592) @aleksficek